Feature pyinstaller #3
Conversation
1. 一个测试demop;
2. 支持输出一个目录和一个文件;
3. 命令
1. make clean
2. make file
3. make dir
Signed-off-by: 丁剑 <[email protected]>
Signed-off-by: 丁剑 <[email protected]>
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Seems you are using me but didn't get OPENAI_API_KEY seted in Variables for this repo. you could follow readme for more information |
![github-actions[bot]](https://avatars.githubusercontent.com/in/15368?s=60&v=4){kind=small}
| @@ -12,7 +12,6 @@ jobs: | |||
| test: | |||
| runs-on: ubuntu-latest | |||
| steps: | |||
| - name: ChatGPT CodeReviewer | |||
| - uses: anc95/[email protected] | |||
| env: | |||
| GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | |||
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the code review
The code looks good, but I suggest adding a step to check for any potential bugs before running the ChatGPT CodeReviewer. This can be done by adding something like a linting tool to the pipeline. This will help identify any potential issues which could be causing problems in the future. Additionally, I suggest adding a step to run unit tests on the code, to make sure that it is working as expected.
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| clean: | ||
| rm -rf build dist __pycache__ *.spec | ||
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with the code review
- The code looks good, there are no obvious syntax errors.
- It looks like the code is used to build a Python project. It includes commands for building a single file (
f) or a directory (d). It also includes acleancommand to remove any generated files. - One improvement suggestion would be to add a check to make sure the
pyinstallercommand is installed before running any of the commands. This could be done by adding apre-buildcommand which will check for thepyinstallerinstallation and exit if it's not found. - Another improvement suggestion would be to add comments in the code to explain what each command does. This will help other developers understand the code better.
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| # 该实例输出 Hello World! | ||
| print('Hello World!') | ||
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the code review
1.The code looks good and is written in a way that is easy to understand.
2.Make sure that the code is compliant with coding standards and best practices.
3.Check if the code is well documented and comments are used to explain the code.
4.Check if the code is tested and debugged properly.
5.Check if the logic of the code is correct and efficient.
6.Check if there are any security risks in the code.
7.Check if there are any performance issues in the code.
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